Fast Monostatic Scattering Analysis Based on Bayesian Compressive Sensing

被引：0
|
作者：
Zhang, Huan-Huan [1 ]
Zhao, Xun-Wang [1 ]
Lin, Zhong-Chao [1 ]
Sha, Wei E. I. [2 ]
机构：
[1] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
[2] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL | 2016年 / 31卷 / 11期
关键词：
Bayesian compressive sensing; method of moments; monostatic; scattering; FAST-MULTIPOLE ALGORITHM; ELECTROMAGNETIC SCATTERING; INTEGRAL-EQUATIONS; MOMENTS; SOLVER;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The Bayesian compressive sensing algorithm is utilized together with the method of moments to fast analyze the monostatic electromagnetic scattering problem. Different from the traditional compressive sensing based fast monostatic scattering analysis method which cannot determine the required measurement times, the proposed method adopts the Bayesian framework to recover the underlying signal. Error bars of the signal can be obtained in the recovery procedure, which provides a means to adaptively determine the number of compressive-sensing measurements. Numerical results are given to demonstrate the accuracy and effectiveness of proposed method.
引用
收藏
页码：1279 / 1285
页数：7
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